جستجوی استاد راهنمای دانشگاهی

David Whitney is a Professor of Psychology at the University of California, Berkeley , with affiliations in Cognitive Science and Neuroscience . His research focuses on visual perception, particularly how humans process information in cluttered environments through mechanisms like ensemble perception , serial dependence , and perceptual crowding . He employs techniques such as psychophysics, fMRI, and TMS to study these phenomena. Whitney's recent work examines serial dependence in schizophrenia, emotion perception in crowds , and medical image analysis for dermatology and radiology. His studies reveal how the brain uses dynamic predictive templates and motion cues to stabilize perception despite neural processing delays. Publications span Current Biology , Nature Reviews Psychology , and PLoS ONE , with a strong emphasis on interdisciplinary applications of perceptual science. Scientific contributions include foundational studies on visuomotor control , blind spot filling-in , and holistic face processing . His lab investigates perceptual stability across eye movements, spatial localization, and cross-modal interactions. Whitney has received grants such as NIH EY018216 to support his research on motion-dependent visual coding. Detailed information about his work is available on the Whitney Lab website .

• Visual Perception
• Cognitive Neuroscience
• Ensemble Perception
• +۶ مورد دیگر

Louis Collins is a Professor in the Department of Biomedical Engineering and Department of Neurology and Neurosurgery at McGill University, with associate membership at the Center for Intelligent Machines. His work focuses on advanced medical imaging techniques for neurological applications. Key Expertise: Non-linear image registration, model-based segmentation, neuroimaging, MRI analysis Applications: Alzheimer's disease, Parkinson's disease, multiple sclerosis, epilepsy, schizophrenia Methodology: Development of computer vision algorithms for image-guided neurosurgery (IGNS), automated atlasing, and biomarker quantification Collins' research combines computational neuroanatomy with clinical translation, particularly in: Quantifying brain atrophy and anatomical variability across populations Optimizing MRI templates for improved diagnostic accuracy Developing tools like SEEGAtlas for surgical electrode classification Exploring neurophysiological fingerprints of neurodegenerative diseases His lab (NIST-Lab) actively pursues CIHR-funded projects on ultrasound-based image-guided neurosurgery and machine learning applications in clinical trials.

• Neuroimaging
• Medical Image Processing
• Magnetic Resonance Imaging (MRI)
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Dr. Chris Brown is a Senior Lecturer in Psychology at Bournemouth University . His research bridges cognitive psychology, neuroscience, and health psychology to investigate attentional mechanisms, emotion regulation, and mental health. Research Focus : Attention processing, interoceptive awareness, affective neuroscience, and pandemic-related stress impacts. Key Themes : Cognitive control, threat processing, ADHD, smoking cessation, and health communication. His recent work explores how interoceptive attention interacts with automatic thought processes and how goal relevance shapes visual search templates. Publications span journals like Emotion , Cortex , and Drug and Alcohol Dependence . Awards & Grants : Leverhulme Trust grant (2024) for "Mapping the distortion of visual search templates". Collaborations with neuroscientists and clinicians focus on attentional traits in interpersonal distancing and addiction neuroscience.

• Cognitive Psychology
• Attention Mechanisms
• Emotion Regulation
• +۷ مورد دیگر

Dr. Sophie Forster is an Associate Professor and Reader in Cognitive Neuroscience at the University of Sussex's School of Psychology, where she leads the Sussex Attention Lab. Her research focuses on attentional mechanisms, particularly how individuals become distracted by external stimuli or internal thoughts. Key interests include attentional failure, clinical attention disorders (e.g., ADHD), and the interplay between perceptual load and cognitive control. She has held grants from the ESRC, BIAL Foundation, and AHRC, investigating topics like mind-wandering and perceptual decoupling. Teaching roles include courses on attention, clinical cognition, and cognitive psychology. Professional activities include editorial roles at Journal of Experimental Psychology: Human Perception and Performance and ESRC peer review. Education: PhD from University College London (UCL), post-doctoral work at UC Berkeley, and an ESRC fellowship at UCL before joining Sussex in 2013. Research labs and collaborations include the Sussex Attention Lab and cross-disciplinary projects on autism and neurodiversity. Key research themes: 1) Attentional capture and distraction, 2) Mind-wandering and its cognitive consequences, 3) Application of perceptual load theory to clinical contexts (e.g., eating behavior, addiction). Recent grants include studying internal distraction and attentional decoupling mechanisms. Her work bridges cognitive neuroscience, experimental psychology, and clinical applications. Grants (selected): ESRC grant on 'Watching the mind travel' (2022–2024) BIAL Foundation grant on perceptual decoupling (2023–2024) AHRC project on autism and art engagement (2023–2024) Teaching focuses on third-year 'Attention: Distraction, daydreaming and diversity' and second-year 'Cognitive Psychology'. Office hours include drop-in sessions via bookable appointments .

• Cognitive Neuroscience
• Attention and Distraction
• Mind-Wandering
• +۳ مورد دیگر

Mallar Chakravarty is an Associate Professor in the Department of Psychiatry at McGill University's Faculty of Medicine and an Associate Member of the Department of Biomedical Engineering. He serves as Director of the Brain Imaging Centre at the Douglas Research Centre and leads the Computational Brain Anatomy (CoBrA) Laboratory. His work bridges computational neuroscience, psychiatry, and biomedical engineering to advance understanding of brain structure and function. Dr. Chakravarty received his Bachelor's Degree in Electrical Engineering from the University of Waterloo and his PhD in Biomedical Engineering from McGill University. He completed postdoctoral fellowships in Aarhus, Denmark and jointly at the Rotman Research Institute, Mouse Imaging Centre (MICe), and Hospital Sick Children in Toronto, Canada. Between fellowships, he worked at the Allen Institute for Brain Science in Seattle, WA, USA. His research focuses on computational neuroanatomy, specifically examining how brain anatomy changes through development, aging, and in illness. The CoBrA Lab investigates brain maturation through adolescence, the normal aging process, and alterations in brain anatomy related to neurodegenerative disorders such as Alzheimer's and Parkinson's disease, as well as neurodevelopmental disorders like schizophrenia. The lab develops sophisticated computational techniques to automatically analyze the geometric complexity of brain anatomy using MRI and other imaging modalities. Analysis of Dr. Chakravarty's recent publications reveals a strong emphasis on hippocampal and striatal morphology, brain development across the lifespan, and computational methods for neuroanatomical analysis. His work consistently bridges basic neuroscience with clinical applications, particularly in psychiatric and neurodegenerative disorders. The publications demonstrate expertise in multi-atlas segmentation, high-resolution MRI atlas development, and longitudinal neuroimaging analysis. Fonds de recherche du Québec – Santé (FRQS) Research Scholar, Junior 2 Fonds de Recherche Santé Québec – Young Investigator Award Junior 1 Sertuener Award for best scientific work in pain research in Germany 2016 CCNP Young Investigator Award 2023 Member to the College of New Scholars, Artists, and Scientists Dr. Chakravarty actively mentors a diverse team of researchers including neuroscientists, computer scientists, engineers, and physicists. His lab has secured significant funding from multiple sources including FRQS, CIHR, and private foundations such as the TD Ready Commitment for Digital Mental Health research. The lab is known for its commitment to open science, publicly disseminating algorithms and atlases to promote reproducible research. The Computational Brain Anatomy (CoBrA) Laboratory operates within the Cerebral Imaging Centre at the Douglas Mental Health University Institute. The lab's multi-disciplinary approach combines expertise from neuroscience, computer science, engineering, and physics to understand brain structure-function relationships through health and illness. Their work has contributed significantly to the field of computational neuroanatomy and its applications in mental health research.

• Computational Neuroanatomy
• Brain Imaging
• MRI Analysis
• +۷ مورد دیگر

Dr. Daniel A. Abrams is a Clinical Associate Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University. His research focuses on the neurobiological basis of social communication impairments in children with autism spectrum disorders (ASD), particularly how atypical reward attribution to social stimuli like voices and faces impacts development. He employs techniques such as functional MRI, psychophysics, and cognitive assessments to identify neural markers of social and memory deficits in ASD. Dr. Abrams received his Ph.D. in Auditory Cognitive Neuroscience from Northwestern University (2008) and a B.F.A. from the University of Arizona (1994). His work has been funded by NIH, NARSAD, and the National Organization for Hearing Research Foundation. He leads the Speech and Social Neuroscience Lab at Stanford Cognitive and Systems Neuroscience Laboratory. Scientific awards include the K01 Research Scientist Development Award (NIH/NIMH, 2014-2017), NARSAD grant (2019-2021), and a 2017 CHRI Pilot Early Career Award. His recent publications highlight neural circuitry in voice processing, memory impairments linked to hyperconnectivity, and efficacy of clinic-home-school collaborative interventions for autistic adolescents. Key research trends: Autism neurodevelopment, reward/salience circuit dysfunction, social communication biomarkers, voice prosody decoding, and memory plasticity. Dr. Abrams’ full description below details his academic trajectory, grants, student collaborations, and clinical trial leadership.

• Autism Spectrum Disorders
• Cognitive Neuroscience
• Brain Imaging
• +۵ مورد دیگر

Amrita Puri is Associate Professor of Biology at University of Central Arkansas, teaching Principles of Biology, Neuroscience, and Sensation & Perception. Holds PhD in Neuroscience (UC Davis) and dual BS degrees in Biology/Chemistry (UNO). Research examines visual cognition and sensory integration. Key research areas: Crossmodal transfer between echolocation, vision and haptics Attentional mechanisms in numerical/physical size processing Anxiety effects on facial emotion perception Neural correlates of visual attention allocation Publications demonstrate strong methodological diversity, employing psychophysics, eye-tracking, fMRI, and auditory perception paradigms. Recent work explores sensory substitution mechanisms and perceptual resolution in echolocation.

• Neuroscience
• Visual Perception
• Cognitive Control
• +۲ مورد دیگر

David Hoksza is an Associate Professor at the Department of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague. His work bridges bioinformatics and computational biology through innovative algorithm and tool development. University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software Engineering His research focuses on structural bioinformatics and data visualization, particularly in protein and RNA structure analysis. He has also contributed to cheminformatics (ligand-based virtual screening), computational genomics (MinION data analysis), and systems biology (molecular network visualization). David has led major projects including the P2Rank framework for ligand-binding site prediction, R2DT for RNA secondary structure visualization, and the Genomics 2 Proteins portal for linking genetic data to protein structures. His publications span high-impact journals like Nucleic Acids Research , Bioinformatics , and Nature Methods . Recent articles highlight his expertise in RNA structure prediction, protein-ligand interactions, and neurodevelopmental disorder analysis. His work emphasizes template-based modeling, machine learning, and web-based tool development. Scientific Awards David actively teaches courses on data visualization and bioinformatics algorithms, with a focus on practical implementation using technologies like D3.js, Tableau, and Python. He contributes to open-source software and maintains a GitHub repository for his tools.

• Structural Bioinformatics
• Data Visualization
• Protein Structure
• +۴ مورد دیگر

Joseph Schmidt is an Associate Professor of Psychology at the University of Central Florida, where he directs the Attention and Memory Laboratory. His research integrates eye-tracking and EEG/ERP methodologies to study attention-memory interactions. Key focus areas include: Neural and behavioral correlates of visual working memory Attention guidance in real-world contexts Visual search errors in medical imaging Oculomotor patterns in neurological disorders His work bridges cognitive psychology and neuroscience, examining how memory representations shape attentional selection. Current projects investigate cognitive expectations in visual search, EEG classification methods, and attentional deficits in clinical populations.

• Attention-Memory Interaction
• Visual Cognition
• Eye Tracking
• +۳ مورد دیگر

Dr. Patrick Nahirney is a Professor of Anatomy and Histology at the University of Victoria (UVic), affiliated with the Division of Medical Sciences. He teaches human gross anatomy and histology to medical students in the Island Medical Program and conducts research on neurogenesis, neuromuscular diseases, and synaptic ultrastructure. His work focuses on Alzheimer’s disease, stress-induced memory loss, and muscle/nerve tissue regeneration. Education: BSc from Washington State University MSc and PhD from University of British Columbia (UBC) Research Interests: Synapse ultrastructure, myogenesis, live-cell imaging, electron microscopy. Current projects include studying prenatal stress effects on hippocampal synapses, ethanol-induced neurodevelopmental disorders, and applicability of exercise therapy. His lab uses high-resolution microscopy to explore structural changes in neurological conditions like autism and schizophrenia. Grants & Funding: $662,490 CIHR Grant (2018-2023) examining cholinergic nuclei in Parkinson’s-like conditions $375K CFI-BCKDF Leaders Opportunity Fund for a new transmission electron microscope NSERC Discovery Grant investigating prenatal stress impacts on synapse ultrastructure Students & Advising: Supervised over a dozen graduate and honours students in areas like traumatic brain injury, Fragile X syndrome, and muscle cell fusion. Current MSc student Charlotte Copas is investigating microvascular damage post-TBI. Labs/Teams: Leads microscopy research using advanced electron tomography and immunocytochemical techniques. Collaborates internationally on cannabinoid receptor localization and neurodevelopmental studies. Co-director of UVic’s Centre for Biomedical Research.

• Synapse ultrastructure
• Neurogenesis
• Neuromuscular disease
• +۷ مورد دیگر

Eric Feczko is an Assistant Professor in the Department of Clinical Behavioral Neuroscience within the Medical School at the University of Minnesota. His research focuses on advancing neuroimaging methodologies and applying them to understand brain development in children and adolescents, with particular emphasis on pediatric populations. Dr. Feczko's primary research interests include: Functional Connectivity and Resting-State Functional Connectivity Functional Magnetic Resonance Imaging (fMRI) methodology and analysis Child and Adolescent Brain Development Behavioral Neuroscience with a focus on pediatric applications Impact of social disadvantage on brain development and substance use trajectories Neuroimaging methodology for high-motion populations, particularly minoritized youth His recent research has focused on developing precision neuroimaging techniques to better understand individual differences in brain network organization. Dr. Feczko has made significant contributions to creating advanced preprocessing pipelines like NiBabies for infant fMRI and sMRIPrep for structural MRI data. His work addresses critical methodological challenges in neuroimaging, particularly related to motion artifacts in pediatric populations, and examines how environmental factors shape brain development. His publications in high-impact journals like Nature Neuroscience demonstrate the significance of his methodological innovations in the field. Dr. Feczko is actively involved in several major research initiatives: Healthy Brain and Child Development National Consortium (as Co-Investigator) Neurobehavioral mechanisms linking childhood social disadvantage with substance use trajectories in adolescence and adulthood (NIH-funded project as Co-Investigator) Healthy brain and child development national consortium data coordinating center He has developed and contributed to significant neuroimaging resources including: NiBabies: a robust preprocessing pipeline for infant functional MRI sMRIPrep: Structural MRI PREProcessing workflows

• Functional Connectivity
• Functional Magnetic Resonance Imaging
• Behavioral Neuroscience
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Dan Levy is an Associate Professor at Cold Spring Harbor Laboratory (CSHL), where he leads the Levy Laboratory and is a member of the Cancer Center. His research focuses on developing computational algorithms to identify disease-causing mutations from large genomic datasets. Ph.D. in Mathematics from University of California, Berkeley (2005) Postdoctoral training at Cold Spring Harbor Laboratory (2007-2009), University of Oxford (2006-2007), and University of California, Berkeley (2005-2006) Academic career at CSHL: Associate Professor (2012-present), Assistant Professor (2012), Senior Computer Scientist (2010-2012), Research Investigator (2009-2010) Levy's research centers on identifying rare and unique mutations that play significant roles in diseases such as autism, congenital heart disease, and cancer. His group develops algorithms to analyze large, high-throughput datasets comprising thousands of nuclear families. Initially working with high-resolution CGH arrays, his team now primarily uses targeted sequence data. Key areas of algorithm development include identifying de novo mutations, detecting copy-number variants, and analyzing complex genomic rearrangements including insertions, deletions, inversions, and transpositions. Additional research projects involve single-cell RNA analysis, phylogenetic reconstruction from sparse datasets, and haplotype disentanglement from sperm and subgenomic sequence data. His publication record demonstrates consistent contributions to computational genomics and disease genetics, with particular emphasis on autism genetics, cancer genomics, and methodological innovations. Recent work has expanded into applications for cancer diagnostics and minimal residual disease detection, reflecting the translational impact of his computational approaches. Active member of the CSHL Cancer Center Part of the Quantitative Biology and Genomics research groups at CSHL Levy's work bridges computational mathematics with biological applications, developing sophisticated algorithms that enable researchers to identify previously undetectable genetic variations contributing to human disease.

• Computational Biology
• Genomics
• Human Genetics
• +۶ مورد دیگر

Professor Michael Morgan is a renowned neuroscientist at City, University of London , specializing in the visual system. He joined the institution in 2000 and has held a Professor of Neuroscience appointment. His career spans prestigious institutions including the University of Cambridge , McGill University , Durham University , University College London (UCL) , and University of Edinburgh . Education: PhD, MA, and ScD in Natural Sciences (Experimental Psychology) from the University of Cambridge His research focuses on behavioural neuroscience with applications to vision science , particularly in motion processing , spatial vision , perceptual decision-making , and visual adaptation mechanisms . Current projects funded by the EPSRC and Wellcome Trust explore selective attention , signal detection , and visual space recalibration . Recent publications highlight his work on change detection , direction-selective adaptation , density/contrast modulation , and stereopsis . Collaborations with colleagues like J.A. Solomon and S. Grant span both Applied Vision Research Centre and external institutions such as UCI and Institute of Ophthalmology . Scientific Honors: Elected Fellow, The Royal Society (2005–present) His work bridges psychophysics , visual perception , and neural mechanisms , with implications for understanding both normal and clinical visual processing.

• Behavioural Neuroscience
• Visual Neuroscience
• Psychophysics
• +۷ مورد دیگر

Joerg Lahann is a Professor at the University of Michigan with appointments in Chemical Engineering , Materials Science and Engineering , Macromolecular Science and Engineering , and Biomedical Engineering . He serves as Director of the Academic Program Biointerfaces Center and is affiliated with multiple research institutes including the Weil Institute for Critical Care Research , Rogel Cancer Center , and Biosciences Initiative . PhD in Macromolecular Chemistry from Rheinisch-Westfälische Technische Hochschule Aachen (1998) Dr. Lahann's research spans biotechnology , nanoparticle engineering , and surface chemistry , focusing on drug/gene delivery systems , advanced biomaterials , and chemical vapor deposition for engineered surfaces. His work addresses challenges in oral cancer chemoprevention , neuro-oncology , and synthetic biology applications . Recent publications highlight innovations in protein nanoparticle design for targeted therapies , deep learning-based surface analysis , and liquid crystal-templated polymerization . His team has made significant advances in non-viral gene delivery , biofilm disruption , and smart biomaterials for dental applications . University of Michigan Biointerfaces Institute Innovation Fellowship (2023) Dr. Lahann supervises research in nanoparticle engineering , biomaterials , and chemical manufacturing processes . His lab has received substantial funding from NSF , NIH , and industry partners for projects including 3D scaffold development , biocontainment strategies , and advanced manufacturing techniques . The Lahann Lab at the Biointerfaces Institute (Ann Arbor, MI) develops therapeutic nanoparticles , engineered extracellular matrices , and multifunctional coatings with applications in cancer therapy , regenerative medicine , and oral disease prevention .

• Drug Delivery
• Gene Therapy
• Biomaterials
• +۷ مورد دیگر

Aysenil Belger, PhD, is a Professor and Director of Neuroimaging Research in Psychiatry at the University of North Carolina at Chapel Hill's School of Medicine, Department of Psychiatry. She holds a joint appointment as Adjunct Associate Professor of Radiology at Duke University's Brain Imaging and Analysis Center. Her research employs multimodal neuroimaging (fMRI, EEG, fNIRS) and neuropsychological methods to investigate cortical circuits underlying attention, executive function, and emotion processing in neuropsychiatric disorders. Dr. Belger completed her BS at Ege University, followed by MA and PhD degrees at the University of Illinois at Urbana-Champaign. Her current work focuses on neural abnormalities in autism, schizophrenia, mood disorders, and PTSD, with recent investigations into stress regulation in adolescence and psychosis risk prediction. Her research integrates experimental psychology with neurophysiological assessments to examine sensory and cognitive impairments across disorders. Key investigations include electrophysiological markers in autism, neural oscillatory abnormalities in schizophrenia, and the impact of early childhood trauma on adult brain function. She actively mentors trainees across academic levels and teaches Cognitive Clinical Neuroscience at UNC. Recent publications demonstrate a methodological focus on dynamic functional connectivity, multimodal data fusion, and neurophysiological biomarker validation. Her work frequently employs machine learning approaches for psychosis prediction and emphasizes translational applications for precision psychiatry. Common themes include neural oscillatory dynamics, stress response systems, cortico-subcortical network interactions, and neurodevelopmental trajectories.

• Neuroscience
• Psychiatry
• Neuroimaging
• +۵ مورد دیگر